Brent’s algorithm based new computational approach for accurate determination of single-diode model parameters to simulate solar cells and modules

•Solar cells and modules parameters are extracted by Brent’s Algorithm (BA).•The proposed BA shows high performance compared to the other reported methods.•BA accurately simulates the I-V curve of PV cells/modules under various conditions. Simulated current-voltage (I-V) characteristics of photovolt...

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Vydáno v:	Solar energy Ročník 193; s. 782 - 798
Hlavní autoři:	Muhammadsharif, Fahmi F., Hashim, Suhairul, Hameed, Shilan S., Ghoshal, S.K., Abdullah, Isam K., Macdonald, J.E., Yahya, Mohd Y.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 15.11.2019 Pergamon Press Inc
Témata:	Algorithms Brent’s algorithm Computer applications Computer simulation Current voltage characteristics I-V simulation Irradiation Mathematical models Modules Parameters Parameters extraction Performance assessment Photovoltaic cells Photovoltaics Quality assessment Quality control Radiation Resistance factors Root-mean-square errors Sensitivity analysis Shunt resistance Solar cells Solar cells and modules Solar energy ABC ER-WCA Rcr-IJADE PS GOTLBO Solar cells and modules GGHS HS IGHS SA HFAPS ELPSO CPSO Brent’s algorithm CWOA GA I-V simulation CSO STLBO Sensitivity analysis ABSO NM-MPSO BMO Parameters extraction RMSE PSO ISCE MAE MPCOA EHA-NMS DET PCE MABC SAE PGJAYA ILCOA ADA BA
ISSN:	0038-092X, 1471-1257
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Abstract	•Solar cells and modules parameters are extracted by Brent’s Algorithm (BA).•The proposed BA shows high performance compared to the other reported methods.•BA accurately simulates the I-V curve of PV cells/modules under various conditions. Simulated current-voltage (I-V) characteristics of photovoltaic (PV) cells and modules are significant for the performance assessment, design and quality control, which are decided by the accurate determination of the intrinsic parameters of the devices. Commonly, a single-diode model is utilized to extract these parameters such as the ideality factor (n), series resistance (Rs), shunt resistance (Rsh), saturation current (Io) and photo-generated current (Iλ). Driven by this idea, a new mathematical manipulation was performed on the single-diode equation that yielded a non-linear formula of Rs. Later, Brent’s algorithm was used to precisely estimate Rs at every fine-tuned point of n, thereby all other parameters were determined. The set of parameters that provided the lowest root mean square error (RMSE) between the experimental and simulated I-V data were chosen to be optimum. The proposed Brent’s algorithm (BA) was shown outperform several recently reported computational and heuristic algorithms that were exploited to mine the single-diode model parameters for solar cells and modules with varied device temperatures and solar irradiation conditions.
AbstractList	•Solar cells and modules parameters are extracted by Brent’s Algorithm (BA).•The proposed BA shows high performance compared to the other reported methods.•BA accurately simulates the I-V curve of PV cells/modules under various conditions. Simulated current-voltage (I-V) characteristics of photovoltaic (PV) cells and modules are significant for the performance assessment, design and quality control, which are decided by the accurate determination of the intrinsic parameters of the devices. Commonly, a single-diode model is utilized to extract these parameters such as the ideality factor (n), series resistance (Rs), shunt resistance (Rsh), saturation current (Io) and photo-generated current (Iλ). Driven by this idea, a new mathematical manipulation was performed on the single-diode equation that yielded a non-linear formula of Rs. Later, Brent’s algorithm was used to precisely estimate Rs at every fine-tuned point of n, thereby all other parameters were determined. The set of parameters that provided the lowest root mean square error (RMSE) between the experimental and simulated I-V data were chosen to be optimum. The proposed Brent’s algorithm (BA) was shown outperform several recently reported computational and heuristic algorithms that were exploited to mine the single-diode model parameters for solar cells and modules with varied device temperatures and solar irradiation conditions. Simulated current-voltage (I-V) characteristics of photovoltaic (PV) cells and modules are significant for the performance assessment, design and quality control, which are decided by the accurate determination of the intrinsic parameters of the devices. Commonly, a single-diode model is utilized to extract these parameters such as the ideality factor (n), series resistance (Rs), shunt resistance (Rsh), saturation current (Io) and photo-generated current (Iλ). Driven by this idea, a new mathematical manipulation was performed on the single-diode equation that yielded a non-linear formula of Rs. Later, Brent's algorithm was used to precisely estimate Rs at every fine-tuned point of n, thereby all other parameters were determined. The set of parameters that provided the lowest root mean square error (RMSE) between the experimental and simulated I-V data were chosen to be optimum. The proposed Brent's algorithm (BA) was shown outperform several recently reported computational and heuristic algorithms that were exploited to mine the single-diode model parameters for solar cells and modules with varied device temperatures and solar irradiation conditions.
Author	Macdonald, J.E. Muhammadsharif, Fahmi F. Abdullah, Isam K. Ghoshal, S.K. Yahya, Mohd Y. Hashim, Suhairul Hameed, Shilan S.
Author_xml	– sequence: 1 givenname: Fahmi F. orcidid: 0000-0002-4563-9671 surname: Muhammadsharif fullname: Muhammadsharif, Fahmi F. email: fahmi.fariq@koyauniversity.org organization: Department of Physics, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia – sequence: 2 givenname: Suhairul surname: Hashim fullname: Hashim, Suhairul organization: Department of Physics, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia – sequence: 3 givenname: Shilan S. surname: Hameed fullname: Hameed, Shilan S. organization: Directorate of Information Technology, Koya University, 44023 Koya, Kurdistan Region-F.R., Iraq – sequence: 4 givenname: S.K. surname: Ghoshal fullname: Ghoshal, S.K. organization: Department of Physics, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia – sequence: 5 givenname: Isam K. surname: Abdullah fullname: Abdullah, Isam K. organization: Department of Physics, Salahaddin University, 44001 Erbil, Kurdistan Region-F.R., Iraq – sequence: 6 givenname: J.E. surname: Macdonald fullname: Macdonald, J.E. organization: School of Physics and Astronomy, Cardiff University, Cardiff CF24 3AA, UK – sequence: 7 givenname: Mohd Y. surname: Yahya fullname: Yahya, Mohd Y. organization: Center for Advanced Composite Materials (CACM), Institute for Vehicle Systems & Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
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Keywords	ABC ER-WCA Rcr-IJADE PS GOTLBO Solar cells and modules GGHS HS IGHS SA HFAPS ELPSO CPSO Brent’s algorithm CWOA GA I-V simulation CSO STLBO Sensitivity analysis ABSO NM-MPSO BMO Parameters extraction RMSE PSO ISCE MAE MPCOA EHA-NMS DET PCE MABC SAE PGJAYA ILCOA ADA BA
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Snippet	•Solar cells and modules parameters are extracted by Brent’s Algorithm (BA).•The proposed BA shows high performance compared to the other reported methods.•BA... Simulated current-voltage (I-V) characteristics of photovoltaic (PV) cells and modules are significant for the performance assessment, design and quality...
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SubjectTerms	Algorithms Brent’s algorithm Computer applications Computer simulation Current voltage characteristics I-V simulation Irradiation Mathematical models Modules Parameters Parameters extraction Performance assessment Photovoltaic cells Photovoltaics Quality assessment Quality control Radiation Resistance factors Root-mean-square errors Sensitivity analysis Shunt resistance Solar cells Solar cells and modules Solar energy
Title	Brent’s algorithm based new computational approach for accurate determination of single-diode model parameters to simulate solar cells and modules
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